Machine Learning Made Easy on Kubernetes. DevOps for Data Scientists
Examines machine Learning Made Easy on Kubernetes. DevOps for Data Scientists and evaluates key implications for security practitioners.
Summary
No summary yet — watch the video above, or open it on YouTube.
Related talks
The Linux Foundation·40 min
Bringing ML Workflows to Heterogeneous Cloud Native Machine Learning Platforms by Us... Yi-Hong Wang
Provides bringing ML Workflows to Heterogeneous Cloud Native Machine Learning Platforms by teams... Yi-Hong Wang and evaluates key implications for security practitioners.
The Linux Foundation·32 min
Siqi Luo
Investigates from Ground to Space: Cloud-Native Edge Machine-Learning Case Studies with KubeEdge-Sedna and evaluates key implications for security practitioners.
The Linux Foundation·31 min
Bringing ML Workflows to Heterogeneous Cloud Native Machine Learning Pla... Tommy Li & Animesh Singh
Outlines bringing ML Workflows to Heterogeneous Cloud Native Machine Learning Pla... Tommy Li & Animesh Singh and evaluates key implications for security practitioners.


